IoT-Based Manhole Detection and Monitoring System

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]25/09/2025 at 12:57 PM[/if 2224] | [if 1553 equals=””] Volume : 16 [else] Volume : 16[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page : 1 6

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    Ananthu N.K., Godwin Joy, Joyel Joseph, Vitina Prijo, Shejina N.M.,

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  1. Student, Student, Student, Student, Assistant Professor, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Kerala, Kerala, Kerala, Kerala, Kerala, India, India, India, India, India

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Abstract

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nUrban drainage systems face numerous challenges, including blockages, harmful gas accumulation, and flooding, which pose risks to public safety and environmental health. This project introduces an IoT-enabled solution designed to monitor and address these issues efficiently. The system incorporates sensors to detect critical parameters such as gas levels, temperature, water presence, and nearby obstacles. A unique lifting mechanism ensures the hardware adapts to challenging conditions, maintaining uninterrupted operation. The system transmits real-time data to a mobile application, allowing authorities to monitor drainage systems efficiently. It features live updates, historical data visualization, and a user-friendly interface that aids in swift decision-making. By identifying trends and potential hazards early, the application enhances public safety and operational efficiency. Its scalable and reliable architecture supports seamless integration into smart city infrastructure. This proactive approach to drainage management not only reduces risks but also ensures timely maintenance and resource allocation. As a result, the solution promotes sustainability, improves urban resilience, and supports the broader goals of intelligent infrastructure and effective urban planning.nn

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Keywords: IoT, drainage monitoring, real-time data, urban safety, hazard prevention, smart city, infrastructure management

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Remote Sensing & GIS ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Remote Sensing & GIS (jorsg)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nAnanthu N.K., Godwin Joy, Joyel Joseph, Vitina Prijo, Shejina N.M.. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]IoT-Based Manhole Detection and Monitoring System[/if 2584]. Journal of Remote Sensing & GIS. 29/08/2025; 16(03):1-6.

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How to cite this URL:
nAnanthu N.K., Godwin Joy, Joyel Joseph, Vitina Prijo, Shejina N.M.. [if 2584 equals=”][226 striphtml=1][else]IoT-Based Manhole Detection and Monitoring System[/if 2584]. Journal of Remote Sensing & GIS. 29/08/2025; 16(03):1-6. Available from: https://journals.stmjournals.com/jorsg/article=29/08/2025/view=0

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  10. Niranjane VB, Niranjane P, Punwatkar KM. Manhole Detection and System Monitoring Controlled by IoT. In2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA) 2024 Nov 6 (pp. 430-433). IEEE.

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Journal of Remote Sensing & GIS

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[if 344 not_equal=””]ISSN: 2230-7990[/if 344]

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Volume 16
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 25/03/2025
Accepted 05/07/2025
Published 29/08/2025
Retracted
Publication Time 157 Days

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